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The latest News and Information on API Development, Management, Monitoring, and related technologies.

4 Tips for Developing Model Context Protocol Server

The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling. Whether you’re building a dev tool that integrates with LLMs or enabling a context-aware API backend, standing up an MCP server is a rite of passage. But MCP is still in its early days and there are some sharp edges. Here are four practical shortcuts to fast-track your MCP server development so you can skip the boilerplate and get to the good stuff: intelligent tooling.

Understanding GraphQL in .NET: When and why to use it

APIs are the heart of most modern applications. Due to their simplicity and lightweight design, RESTful APIs are a popular choice for client-server communication in most applications. However, APIs can become limiting when fetching complex or related data. The front end may over-fetch or under-fetch the meaningful data. For example, different pages require different responses. RESTFul APIs require different field endpoints, each involving repetitive complex joining conditions.

What Makes an API-First CMS Truly 'Headless'?

As the digital content landscape continues to change, many people may find it's hard to tell the difference between an API-first CMS and a headless CMS. Yet there is an understanding that the differences can position organizations for their necessary operational requirements to transform their content delivery for the better. This article pinpoints the characteristics that make a true headless CMS and explains why an API-first CMS is essential.
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Testing LLM backends for performance with Service Mocking

While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications. However one of the first challenges you'll face when testing LLMs is that there are many evaluation metrics. For simplicity let's take a look at this through a few different test cases for testing LLMs.

Using Proxymock with AWS Services

Amazon Web Services, or AWS, offers a variety of cloud services ranging from AWS resources such as CDNs and data lakes to cloud computing and transformation services such as compute resources, virtual servers, and dynamic availability zones. For this reason, AWS cloud is one of the most broadly adopted cloud solutions, offering a global network of solutions at generally lower costs compared to on-premises solutions.

OpenTelemetry's Hidden Superpowers: The OTEL Collector

Catch the replay of this in-depth and practical webinar where experts Nočnica Mellifera and María de Antón unveil the real power of the OpenTelemetry Collector. In this hands-on session, we cover: Whether you’re new to OpenTelemetry or deep into building observability pipelines, this session will help you fine-tune your setup, reduce noise, and boost performance.

Critical Requirements for Modern API Monitoring

Enterprises lose millions annually due to API outages and performance degradation. Modern observability strategies are crucial to mitigate these risks. Today, almost every system is dependent on APIs. Data integration, authentication, payment processing, and many other functions rely on multiple reliable and performant APIs. Banks around the world, for example, have adopted the Open Banking API for payments, credit scoring, lending origination, fraud detection, and lots more.

Calico Open Source 3.30: Exploring the Goldmane API for custom Kubernetes Network Observability

Kubernetes is built on the foundation of APIs and abstraction, and Calico leverages its extensibility to deliver network security and observability in both its commercial and open source versions. APIs are the special sauce that help automate and operationalize your Kubernetes platforms as part of a CI/CD pipeline and other GitOps workflows. Calico OSS 3.30, introduces numerous battle-tested observability and security tools from our commercial editions. This includes the following key features.